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The impact of Cultural Events in Airbnb Supply and Reviews: Evidence from Porto and Lisbon Using the Generalized Synthetic Control Method
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Resumo(s)
This study investigates the causal impact of major cultural events on the dynamics of Airbnb
listings in the Portuguese cities of Lisbon and Porto. Drawing on data from Inside Airbnb and
applying the Generalized Synthetic Control (GSC) method, the analysis focuses on two key
outcomes: the daily supply of available listings and the sentiment expressed in guest reviews.
The research considers six multi-day events in 2024, including music festivals and large-scale
concerts, and defines treated neighbourhoods using a 2 km spatial buffer and listing density
criteria. Results reveal a statistically significant reduction in the number of available listings
during event periods, suggesting increased booking activity in response to demand shocks. In
contrast, no significant change was detected in average review sentiment, possibly reflecting
measurement limitations or genuine stability in guest satisfaction. This dissertation
contributes to the growing body of research on peer-to-peer accommodation and urban
tourism, demonstrating the value of causal inference methods in measuring the effects of
temporary shocks. It also points out the need for improved data granularity to better
understand how platforms like Airbnb interact with evolving patterns of urban tourism.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
Airbnb Event Management Urban Planning Impact Analysis Generalized Synthetic Control Portugal SDG 11 - Sustainable cities and communities